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addresses fundamental questions in biological mechanisms, pharmacology, cell and developmental biology, and agrosciences to understand the roles & regulatory principles of biological networks in
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Catholic University: http://www.porto.ucp.pt//sites/default/files/files/DRH/RegBolsasInvestigacao_Cientifica_UCP2020.pdf Workplace: The work will be developed at the CBQF - Centro de Biotecnologia e Química
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of Mechanical and Structural Engineering and Materials Science. The position is vacant from July 2026. This is a trainee position that will give promising researchers an opportunity for academic development
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developed (40%) VII.III- The evaluation of the criteria and the final classification will be based on a scale from 0 to 100, with scores rounded to the nearest hundredth, applying the following formulas: - AR
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perspectives. Preferred Factors: Will be considered preferred factors: a) Experience in the valorization of insect-based or agro-food by-products for the development of functional ingredients. b) Previous
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Research (NCCR) AntiResist is a Swiss-wide research consortium funded by the Swiss National Science Foundation (SNSF). AntiResist is transforming antibiotic discovery and development through in vitro
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Europe. The Advanced Maritime Ship Operations research group is dedicated to developing and showcasing a Multi-Hazard Early Warning System for real-time monitoring and protection of critical underwater
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for Innovation and Development of FCT; Regulation of Research Grants of the Fundação para a Ciência e Tecnologia, I.P. in force (https://former.fct.pt/apoios/bolsas/docs/RegulamentoBolsasFCT2019DR.pdf ); Where
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was founded in 1872 and is North Norway’s oldest research institution. The museum was incorporated in Tromsø University in 1976. Our main tasks are research, research communication, development and maintenance
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
1801P.01158.1.04, financed by national funds through FCT/MCTES Workplan: To develop a two-stage multi-scale vision-language model for the identification and classification of breast lesions in high